Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center
Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous...
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| Autor*in: |
Morelli, Luca [verfasserIn] |
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E-Artikel |
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Englisch |
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2023 |
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Enthalten in: Surgical endoscopy and other interventional techniques - New York, NY : Springer, 1987, 37(2023), 5 vom: 03. Jan., Seite 3531-3539 |
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volume:37 ; year:2023 ; number:5 ; day:03 ; month:01 ; pages:3531-3539 |
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| DOI / URN: |
10.1007/s00464-022-09784-9 |
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SPR05027502X |
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| 245 | 1 | 0 | |a Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center |
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| 520 | |a Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. | ||
| 650 | 4 | |a Previous manual pancreatoduodenectomy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Robotic pancreatoduodenectomy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Learning curve |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Da Vinci Xi |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pancreatic surgery |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Robotic surgery |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Di Candio, Giulio |4 aut | |
| 700 | 1 | |a Cuschieri, Alfred |4 aut | |
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10.1007/s00464-022-09784-9 doi (DE-627)SPR05027502X (SPR)s00464-022-09784-9-e DE-627 ger DE-627 rakwb eng Morelli, Luca verfasserin aut Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 Furbetta, Niccolò aut Palmeri, Matteo aut Guadagni, Simone (orcid)0000-0001-9072-8166 aut Di Franco, Gregorio aut Gianardi, Desirée aut Cervelli, Rosa aut Lorenzoni, Valentina aut Comandatore, Annalisa aut Carpenito, Cristina aut Di Candio, Giulio aut Cuschieri, Alfred aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2023), 5 vom: 03. Jan., Seite 3531-3539 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 https://dx.doi.org/10.1007/s00464-022-09784-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 37 2023 5 03 01 3531-3539 |
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10.1007/s00464-022-09784-9 doi (DE-627)SPR05027502X (SPR)s00464-022-09784-9-e DE-627 ger DE-627 rakwb eng Morelli, Luca verfasserin aut Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 Furbetta, Niccolò aut Palmeri, Matteo aut Guadagni, Simone (orcid)0000-0001-9072-8166 aut Di Franco, Gregorio aut Gianardi, Desirée aut Cervelli, Rosa aut Lorenzoni, Valentina aut Comandatore, Annalisa aut Carpenito, Cristina aut Di Candio, Giulio aut Cuschieri, Alfred aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2023), 5 vom: 03. Jan., Seite 3531-3539 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 https://dx.doi.org/10.1007/s00464-022-09784-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 37 2023 5 03 01 3531-3539 |
| allfields_unstemmed |
10.1007/s00464-022-09784-9 doi (DE-627)SPR05027502X (SPR)s00464-022-09784-9-e DE-627 ger DE-627 rakwb eng Morelli, Luca verfasserin aut Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 Furbetta, Niccolò aut Palmeri, Matteo aut Guadagni, Simone (orcid)0000-0001-9072-8166 aut Di Franco, Gregorio aut Gianardi, Desirée aut Cervelli, Rosa aut Lorenzoni, Valentina aut Comandatore, Annalisa aut Carpenito, Cristina aut Di Candio, Giulio aut Cuschieri, Alfred aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2023), 5 vom: 03. Jan., Seite 3531-3539 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 https://dx.doi.org/10.1007/s00464-022-09784-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 37 2023 5 03 01 3531-3539 |
| allfieldsGer |
10.1007/s00464-022-09784-9 doi (DE-627)SPR05027502X (SPR)s00464-022-09784-9-e DE-627 ger DE-627 rakwb eng Morelli, Luca verfasserin aut Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 Furbetta, Niccolò aut Palmeri, Matteo aut Guadagni, Simone (orcid)0000-0001-9072-8166 aut Di Franco, Gregorio aut Gianardi, Desirée aut Cervelli, Rosa aut Lorenzoni, Valentina aut Comandatore, Annalisa aut Carpenito, Cristina aut Di Candio, Giulio aut Cuschieri, Alfred aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2023), 5 vom: 03. Jan., Seite 3531-3539 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 https://dx.doi.org/10.1007/s00464-022-09784-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 37 2023 5 03 01 3531-3539 |
| allfieldsSound |
10.1007/s00464-022-09784-9 doi (DE-627)SPR05027502X (SPR)s00464-022-09784-9-e DE-627 ger DE-627 rakwb eng Morelli, Luca verfasserin aut Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 Furbetta, Niccolò aut Palmeri, Matteo aut Guadagni, Simone (orcid)0000-0001-9072-8166 aut Di Franco, Gregorio aut Gianardi, Desirée aut Cervelli, Rosa aut Lorenzoni, Valentina aut Comandatore, Annalisa aut Carpenito, Cristina aut Di Candio, Giulio aut Cuschieri, Alfred aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2023), 5 vom: 03. Jan., Seite 3531-3539 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 https://dx.doi.org/10.1007/s00464-022-09784-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 37 2023 5 03 01 3531-3539 |
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Enthalten in Surgical endoscopy and other interventional techniques 37(2023), 5 vom: 03. Jan., Seite 3531-3539 volume:37 year:2023 number:5 day:03 month:01 pages:3531-3539 |
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Morelli, Luca @@aut@@ Furbetta, Niccolò @@aut@@ Palmeri, Matteo @@aut@@ Guadagni, Simone @@aut@@ Di Franco, Gregorio @@aut@@ Gianardi, Desirée @@aut@@ Cervelli, Rosa @@aut@@ Lorenzoni, Valentina @@aut@@ Comandatore, Annalisa @@aut@@ Carpenito, Cristina @@aut@@ Di Candio, Giulio @@aut@@ Cuschieri, Alfred @@aut@@ |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. 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Morelli, Luca |
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Morelli, Luca misc Previous manual pancreatoduodenectomy misc Robotic pancreatoduodenectomy misc Learning curve misc Da Vinci Xi misc Pancreatic surgery misc Robotic surgery Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center |
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Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center Previous manual pancreatoduodenectomy (dpeaa)DE-He213 Robotic pancreatoduodenectomy (dpeaa)DE-He213 Learning curve (dpeaa)DE-He213 Da Vinci Xi (dpeaa)DE-He213 Pancreatic surgery (dpeaa)DE-He213 Robotic surgery (dpeaa)DE-He213 |
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Morelli, Luca Furbetta, Niccolò Palmeri, Matteo Guadagni, Simone Di Franco, Gregorio Gianardi, Desirée Cervelli, Rosa Lorenzoni, Valentina Comandatore, Annalisa Carpenito, Cristina Di Candio, Giulio Cuschieri, Alfred |
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10.1007/s00464-022-09784-9 |
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initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center |
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Initial 50 consecutive full-robotic pancreatoduodenectomies without conversion by a single surgeon: a learning curve analysis from a tertiary referral high-volume center |
| abstract |
Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Background Several studies report on a learning curve for robotic pancreatoduodenectomy (R-PD) ranging between 20 and 80 operations, with conversion rates varying between 1.1 and 35%. However, as these publications mostly refer to initial robotic experiences and do not take into account the previous surgical background in pancreatic surgery (PS) and in robotic-assisted surgery (RAS), the center’s volume, as well as the platform used, we aimed to perform a surgical outcomes analysis with a particular view to these aspects. Methods Intraoperative and perioperative outcomes of the first 50 consecutive R-PD performed with the da Vinci Xi by the same surgeon, within a tertiary referral high-volume center, between January 2018 and March 2022, were analyzed. The surgeon was previously experienced in both PS and RAS. Shewhart control chart and cumulative sum (CUSUM) analysis were used to evaluate the learning curve of R-PD. Results All the operations were performed with a full-robotic technique, without any conversion to open surgery. Twenty of 50 patients (40%) had a BMI ≥ 25 kg/$ m^{2} $, while 24/50 (48%) had undergone previous abdominal surgery. Mean console time was 276.30 ± 31.16 min. The median post-operative length of hospital stay was 10 days, while 20/50 (40%) patients were discharged within post-operative day 8. Six patients (12%) had major complications (Clavien-Dindo grade 3 or above). There was no 30-day mortality. Shewhart control chart and CUSUM analysis did not show a significant learning curve during the study period. Conclusions An extensive prior experience in both PS and RAS, within a tertiary referral high-volume center with availability of the da Vinci Xi platform, can significantly flatten the learning curve and, therefore, enable safe performance of challenging operations, i.e., pancreatoduodenectomies with a minimally invasive approach, with very low risk of conversion to open surgery, even in the first 50 operations. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Furbetta, Niccolò Palmeri, Matteo Guadagni, Simone Di Franco, Gregorio Gianardi, Desirée Cervelli, Rosa Lorenzoni, Valentina Comandatore, Annalisa Carpenito, Cristina Di Candio, Giulio Cuschieri, Alfred |
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Furbetta, Niccolò Palmeri, Matteo Guadagni, Simone Di Franco, Gregorio Gianardi, Desirée Cervelli, Rosa Lorenzoni, Valentina Comandatore, Annalisa Carpenito, Cristina Di Candio, Giulio Cuschieri, Alfred |
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| score |
7.401759 |